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Category: robotics/AI – Page 1,102

Artificial intelligence vs. evolving super-complex tumor intelligence: critical viewpoints

Recent developments in various domains have led to a growing interest in the potential of artificial intelligence to enhance our lives and environments. In particular, the application of artificial intelligence in the management of complex human diseases, such as cancer, has garnered significant attention. The evolution of artificial intelligence is thought to be influenced by multiple factors, including human intervention and environmental factors. Similarly, tumors, being heterogeneous and complex diseases, continue to evolve due to changes in the physical, chemical, and biological environment. Additionally, the concept of cellular intelligence within biological systems has been recognized as a potential attribute of biological entities. Therefore, it is plausible that the tumor intelligence present in cancer cells of affected individuals could undergo super-evolution due to changes in the pro-tumor environment. Thus, a comparative analysis of the evolution of artificial intelligence and super-complex tumor intelligence could yield valuable insights to develop better artificial intelligence-based tools for cancer management.

Tumor evolution refers to the changes that occur in a cancerous tumor over time as it grows and spreads (Hanahan and Weinberg, 2011; Lyssiotis and Kimmelman, 2017). These changes are the result of genetic mutations and changes in gene expression that can give rise to new subpopulations of cells within the tumor (Lyssiotis and Kimmelman, 2017; Balaparya and De, 2018). Over time, these subpopulations may accumulate subsequent mutations that confer enhanced survival and heightened proliferative capacity, thereby culminating in the emergence of a more formidable tumor exhibiting either heightened aggressiveness or treatment resistance (Balaparya and De, 2018; Gui and Bivona, 2022; Shin and Cho, 2023). Tumor evolution can have important implications for cancer diagnosis and treatment.

3D display could soon bring touch to the digital world

Imagine an iPad that’s more than just an iPad—with a surface that can morph and deform, allowing you to draw 3D designs, create haiku that jump out from the screen and even hold your partner’s hand from an ocean away.

That’s the vision of a team of engineers from the University of Colorado Boulder. In a new study, they’ve created a one-of-a-kind shape-shifting display that fits on a card table. The device is made from a 10-by-10 grid of soft robotic “muscles” that can sense outside pressure and pop up to create patterns. It’s precise enough to generate scrolling text and fast enough to shake a chemistry beaker filled with fluid.

It may also deliver something even rarer: the sense of touch in a digital age.

AI is going to revolutionize the weather forecast

In a high-tech laboratory, somewhere in San Francisco, sits a comma-shaped piece of metal that aims to change how the world sees the weather. The structure dominates the room. The horizontal part softly curves upwards until it’s taller than a person, with ridges that stretch from top to bottom. You’d be forgiven for thinking it’s a piece of modern art.

In fact, it is art, but it’s also much more than that. It’s an AI-powered, data-processing powerhouse from a startup called Atmo, and it could democratize weather forecasting, putting every country on a level meteorological playing field for the first time.

Bengaluru Startup’s Robot Can Cook 120 Delicious Meals In 3 Easy Steps

Imagine returning home from your evening walk or gym to the aroma of freshly cooked kadhai paneer or chicken curry, which instantly reminds you of home. Now, what if you were to know that it was no human that lovingly prepared this piping hot and delicious meal, but rather, a machine?

From booking cabs to ordering food right at your doorstep, technology makes human lives easy. So it’s about time it saves humans from having to cook after a long tiring day at work, or at times when you’re just not in the mood to enter the kitchen.

The NOSH device, developed by the Euphotic Labs, was conceived by Yatin Varachhia, co-founder of the Bengaluru-based startup. The 34-year-old says the inspiration to build a device stemmed from his struggle of having good food.

Decoding lies with AI? New machine learning model uses facial expressions and pulse rates to detect deception

Researchers from the Tokyo University of Science recently published a study in the journal Artificial Life and Robotics where they explored how machine learning can help detect deception.

Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn and improve from experience without being explicitly programmed. In other words, it is a method of teaching computers to perform specific tasks by learning from data, patterns, and examples, rather than relying on pre-defined rules.

Detecting deception can be important in various situations, like questioning crime victims or suspects and interviewing patients with mental health issues. Sometimes, human interviewers might struggle to ask the right questions or spot deception accurately.

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